3 ms·

The remaining 10% that's 90% of the effort, is interrupting what is being done and changing context. Without this capacity, "AI" is just a tiny shard of a comp

• Dylan16807 5y ago
  That's really not the 10% I was talking about. We don't need that part to follow some lanes. Or the other way to put it is that all the other code is the first 90%, and then the "remaining 10% that's 90% of the effort" is the object recognition that was supposedly easy.
  • perl4ever 5y ago
    >We don't need that part to follow some lanes. We do! I live near a highway and every time I use a particular on-ramp, the tar stripes make my car think it's going off the road. It never learns, and it has no plan B. It's easy to do the lane-keeping, it's completely terra incognita to decide when to abandon the standard method that works 90% of the time. And what to do next.
    • Dylan16807 5y ago
      For object recognition code, including lane-finding, to be sufficient, it needs to be looking far enough ahead that the car always has a plan B. If we reach that level of quality, and it still fails to find the lane, then the car can simply stop. Deciding when to stop is a really easy threshold based on how confused the recognizer is and how far away the source of confusion is. But also those sources of confusion will get rarer and rarer as the object recognition improves, to the point that even very mediocre handling of those situations will still give you an overall good experience.